Identifying Areas Prone to Windthrow Damage and Generating Susceptibility Maps Utilizing a Novel Vegetation Index Extracted from Sentinel-2A Imagery

Çınar, Tunahan; Özdemir, Serkan; Aydın, Abdurrahim

doi:10.1007/s12524-023-01772-3

Cited by 3 publications

(1 citation statement)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, biotic and abiotic factors that affect forests have had a significant impact on the sustainability of forest resources and have caused significant biological and ecological damage to vegetation. Abiotic factors include forest fires, storms, snow, avalanches, and drought (Torun & Altunel, 2020;Baggio et al 2022;Cooke et al 2022;Çınar et al 2023).…”

Section: Introductionmentioning

confidence: 99%

Topoğrafya ve Meşcere Yapısının Rüzgâr Devriği Zararlarına Etkisinin Araştırılması: Düzce Orman İşletme Müdürlüğü Örneği

TÜRK,

ÇALIŞKAN,

ÇINAR

et al. 2023

Kastamonu Üniversitesi Orman Fakültesi Dergisi

View full text Add to dashboard Cite

Aim of study: The aim of the study was to determined the tree volume and damage level in windthrow areas and to assess the impact of topographic factors and forest structure on windthrow damaged. Area of study: Our study was conducted within the Düzce Forest Management Directorate. Material and methods: The windthrow areas within the boundaries of Düzce Forest Management Directorate were obtained from extraordinary yield reports. According to windthrow data verified using Google Earth, the borders for each damage were determined and transferred to ArcMap. The relationships between windthrow areas and enviromental parameters were determined using digital maps and forest management plans. Correlation analysis was applied to find out the relationship between windthrow areas and topographic and forest characteristics. Additionally, variance analysis was performed to determine if there were differences in terms of dominant aspects and forest types between windthrow areas and amounts. T-tests were conducted to determine if there were differences between windthrow areas and amounts and the dominant wind direction. Based on the statistically significant results, an intersect analysis was applied to environmental parameters to generate a windthrow susceptibility map. Main results: Windthrow occurred mostly in the southwest aspect, in the Fir-Beech species and in the cd age classes. A statistically significant relationship (p

show abstract

Section: Introductionmentioning

confidence: 99%

Topoğrafya ve Meşcere Yapısının Rüzgâr Devriği Zararlarına Etkisinin Araştırılması: Düzce Orman İşletme Müdürlüğü Örneği

TÜRK,

ÇALIŞKAN,

ÇINAR

et al. 2023

Kastamonu Üniversitesi Orman Fakültesi Dergisi

View full text Add to dashboard Cite

show abstract

Wind disturbance in forests: A bibliometric analysis and systematic review

Gao,

Larjavaara

2024

Forest Ecology and Management

View full text Add to dashboard Cite

Exploring the Potential of the Google Earth Engine (GEE) Platform for Analysing Forest Disturbance Patterns with Big Data

Çinar,

Aydin

2024

Earth sci. res. j.

View full text Add to dashboard Cite

Climate change has led to various adverse consequences, with natural disasters being one of the most striking outcomes. Natural disasters negatively impact life, causing significant disruptions to the ecosystem. Prompt identification of affected areas and initiation of the rehabilitation process are imperative to address the disturbances in the ecosystem. Satellite imagery is employed for the rapid and cost-effective detection of damages caused by natural disasters. In this conducted study, the outputs of climate change wildfire, forest change detection, and drought analysis, have been examined, all of which worsens the impacts on the ecosystem. The analysis of drought involved using MODIS data, while Sentinel-2A satellite images were utilized to identify wildfire areas and changes in forested regions caused by windthrow. The research focused on Ganja, Azerbaijan, as the area for drought analysis. The driest June between 2005 and 2018 was assessed using the Vegetation Condition Index (VCI) in conjunction with data from the National Centers for Environmental Information (NOAA). At the Düzce Tatlıdere Forest Management Directorate, the Normalized Difference Red Edge Index (NDRE) was utilized between the years 2018 and 2019 to detect the changes occurring in forested areas due to windthrow. The NDRE synthetic band was added to satellite images for the years 2018 and 2019, and a Random Forest (RF) algorithm was employed to classify the data. The classification results were evaluated using Total Accuracy and Kappa statistics. The study includes the detection of the Normalized Burn Ratio (NBR) applied to determine the extent of the wildfire that occurred in the Solquca village of the Qabala region in Azerbaijan in 2021. According to the analysis of the VCI and NOAA, June 2014 was identified as the driest month in Ganja. In the Tatlıdere region, the analysis indicated that 4.22 hectares experienced reforestation, while 24 hectares experienced deforestation. The NBR analysis has revealed that ~1007 hectares of land were burned in the Solquca village of Qabala. The analyses conducted provide information regarding the use of satellite imagery in relation to changes in forest areas due to drought, wildfire, and windthrow.

show abstract

Identifying Areas Prone to Windthrow Damage and Generating Susceptibility Maps Utilizing a Novel Vegetation Index Extracted from Sentinel-2A Imagery

Cited by 3 publications

References 57 publications

Topoğrafya ve Meşcere Yapısının Rüzgâr Devriği Zararlarına Etkisinin Araştırılması: Düzce Orman İşletme Müdürlüğü Örneği

Topoğrafya ve Meşcere Yapısının Rüzgâr Devriği Zararlarına Etkisinin Araştırılması: Düzce Orman İşletme Müdürlüğü Örneği

Wind disturbance in forests: A bibliometric analysis and systematic review

Exploring the Potential of the Google Earth Engine (GEE) Platform for Analysing Forest Disturbance Patterns with Big Data

Contact Info

Product

Resources

About